Roienko O. Robust signal processing based on adaptive estimation of nongaussian noise parameters

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0410U005291

Thesis Registration Form

0410U005291.pdf

Applicant for

Specialization

  • 05.12.17 - Радіотехнічні та телевізійні системи

25-06-2010

Specialized Academic Board

Д64.062.07

Essay

Object – signals and images registered by radio engineering and remote sensing systems. Goal – design of robust signal and image processing methods based on adaptive estimators of distribution parameters which operate in cases of limited a priori information about signal parameters and noise statistical characteristics. Novelty – five novel adaptive estimators are designed which can evaluate location parameter with the accuracy close to the potential limit; adaptive forms of the robust DFT are obtained for the first time; two modifications of FM signal clipping based filtering method are proposed; novel approaches for noise filtering in FM signal analysis method based on Wigner-Ville distribution are designed; bispectral filtering method of radar signals is advanced; two novel edge detectors for remote sensing images are designed. Proposed methods allow solving tasks of signal and image filtering and analysis.

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Введение.doc

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Приложение А.doc

Приложение В.doc

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Раздел_2.doc

Раздел_3(1).doc

Раздел_3(2).doc

Раздел_4.doc

Содержание.doc

Список литературы.doc

Список сокращений.doc

Титульный лист.doc

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